tessl/pypi-itk
Insight Toolkit for N-dimensional image processing, segmentation, and registration in medical and scientific applications
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Pending
deformable-registration.mddocs/reference/registration/
Deformable Registration
Non-rigid registration methods using Demons algorithms, B-splines, and displacement fields for deformable image alignment.
Capabilities
Demons Registration
class DemonsRegistrationFilter:
"""
Classic Demons deformable registration algorithm.
Template parameters:
- fixed_image_type: Fixed image type
- moving_image_type: Moving image type
- displacement_field_type: Displacement field type
"""
def SetFixedImage(self, image):
"""Set the fixed image."""
def SetMovingImage(self, image):
"""Set the moving image."""
def SetNumberOfIterations(self, iterations):
"""Set number of iterations."""
def SetStandardDeviations(self, std):
"""Set standard deviations for Gaussian smoothing of displacement field."""
def SetUseGradientType(self, use_gradient_type):
"""Set gradient type (0=symmetric, 1=fixed, 2=moving)."""
def GetDisplacementField(self):
"""Get the computed displacement field."""
class DiffeomorphicDemonsRegistrationFilter:
"""
Diffeomorphic Demons registration (ensures invertible transforms).
Template parameters:
- fixed_image_type: Fixed image type
- moving_image_type: Moving image type
- displacement_field_type: Displacement field type
"""
def SetFixedImage(self, image):
"""Set the fixed image."""
def SetMovingImage(self, image):
"""Set the moving image."""
def SetNumberOfIterations(self, iterations):
"""Set number of iterations."""
def SetStandardDeviations(self, std):
"""Set smoothing standard deviations."""
def SetUseGradientType(self, use_gradient_type):
"""Set gradient computation type."""
class SymmetricForcesDemonsRegistrationFilter:
"""
Symmetric forces Demons registration.
Template parameters:
- fixed_image_type: Fixed image type
- moving_image_type: Moving image type
- displacement_field_type: Displacement field type
"""SyN Registration (Symmetric Normalization)
class SyNImageRegistrationMethod:
"""
Symmetric normalization (SyN) diffeomorphic registration.
Template parameters:
- fixed_image_type: Fixed image type
- moving_image_type: Moving image type
"""
def SetFixedImage(self, image):
"""Set the fixed image."""
def SetMovingImage(self, image):
"""Set the moving image."""
def SetLearningRate(self, learning_rate):
"""Set the learning rate."""
def SetNumberOfIterationsPerLevel(self, iterations):
"""Set iterations for each resolution level."""
def SetConvergenceThreshold(self, threshold):
"""Set convergence threshold."""
def SetGaussianSmoothingVarianceForTheUpdateField(self, variance):
"""Set smoothing variance for update field."""
def SetGaussianSmoothingVarianceForTheTotalField(self, variance):
"""Set smoothing variance for total field."""Usage Examples
Demons Registration
import itk
# Load images
fixed = itk.imread('fixed.nii.gz', itk.F)
moving = itk.imread('moving.nii.gz', itk.F)
# Set up Demons registration
ImageType = itk.Image[itk.F, 3]
VectorType = itk.Vector[itk.F, 3]
DisplacementFieldType = itk.Image[VectorType, 3]
demons = itk.DemonsRegistrationFilter[ImageType, ImageType, DisplacementFieldType].New()
demons.SetFixedImage(fixed)
demons.SetMovingImage(moving)
demons.SetNumberOfIterations(50)
demons.SetStandardDeviations(1.0)
demons.Update()
displacement_field = demons.GetDisplacementField()
# Warp moving image
warped = itk.warp_image_filter(moving, displacement_field)
itk.imwrite(warped, 'warped.nii.gz')Diffeomorphic Demons
import itk
fixed = itk.imread('fixed.nii.gz', itk.F)
moving = itk.imread('moving.nii.gz', itk.F)
ImageType = itk.Image[itk.F, 3]
VectorType = itk.Vector[itk.F, 3]
DisplacementFieldType = itk.Image[VectorType, 3]
demons = itk.DiffeomorphicDemonsRegistrationFilter[ImageType, ImageType, DisplacementFieldType].New()
demons.SetFixedImage(fixed)
demons.SetMovingImage(moving)
demons.SetNumberOfIterations(100)
demons.SetStandardDeviations(1.5)
demons.Update()
displacement_field = demons.GetDisplacementField()
# Apply to moving image
warped = itk.warp_image_filter(moving, displacement_field)
itk.imwrite(warped, 'diffeomorphic_warped.nii.gz')Install with Tessl CLI
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